Repository logo
 

Tweeting through COVID-19: a content analysis of Twitter posts during the pandemic

dc.contributor.authorHansen, Tamara
dc.date.accessioned2021-10-18
dc.date.accessioned2022-05-31T01:44:32Z
dc.date.available2022-05-31T01:44:32Z
dc.date.issued2020
dc.description.abstractThis study assessed public sentiments regarding the COVID-19 pandemic through a content analysis of 100 Twitter posts made on March 31, 2020, following the introduction of gathering restrictions and social distancing measures. This analysis identified nine themes, including (in order of prevalence): self-isolation activities, reactions to government actions, humour, prevention, emotion, positivity, mental health, statistics, and personal experiences. The most common themes found were related to how people were spending their time in self-isolation (21% of posts analyzed) and reactions to steps taken by various levels of governments (19% of posts). The results demonstrated, overall, an optimistic outlook among a sample of Twitter users towards the COVID-19 pandemic, a sense of solidarity, and a willingness of these users to observe measures to try and stop the spread of the virus.
dc.format.extent255.89KB
dc.format.mimetypePDF
dc.identifier.citationHansen, Tamara. 2020. "Tweeting Through COVID-19: A Content Analysis of Twitter Posts During the Pandemic." Crossing Borders: Student Reflections on Global Social Issues 2(1). doi:10.31542/cb.v2i1.1989
dc.identifier.doihttps://doi.org/10.31542/cb.v2i1.1989
dc.identifier.urihttps://hdl.handle.net/20.500.14078/2466
dc.languageEnglish
dc.language.isoen
dc.rightsAttribution-NonCommercial (CC BY-NC)
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectTwitter
dc.subjectsocial media
dc.subjectpandemics
dc.subjectCOVID-19
dc.subjectpublic reaction
dc.titleTweeting through COVID-19: a content analysis of Twitter posts during the pandemicen
dc.typeStudent Article

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Tweeting_through_COVID-19:_a_content_analysis-_2020_roam.pdf
Size:
255.89 KB
Format:
Adobe Portable Document Format